Titlebook: Database and Expert Systems Applications - DEXA 2022 Workshops; 33rd International C Gabriele Kotsis,A Min Tjoa,Gerald Czech Conference pro

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978-3-031-14342-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Unboundedness of Linear Regions of Deep ReLU Neural Networkse prone to containing adversarial samples. Finding the representation of linear regions and identifying their properties are challenging tasks. In practice, one works with deep neural networks and high-dimensional input data that leads to polytopes represented by an extensive number of inequalities,

星球的光亮度

Applying Time-Inhomogeneous Markov Chains to Math Performance Ratinger providing tests and data. The application deals with the reason and execution of automation of difficulty classification of mathematical tasks and their users’ skills based on the Elo rating system. The basic method is to be extended to achieve numerically fast converging ranks as opposed to the

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A Comparative Analysis of Anomaly Detection Methods for Predictive Maintenance in SMEe unexpected breakdown. Machine failures are due to unexpected events or anomalies in the system. Different anomaly detection methods are available in the literature for the shop floor. However, the current research lacks SME-specific results with respect to comparison between and investment in diff

集中营

A Comparative Study Between Rule-Based and Transformer-Based Election Prediction Approaches: 2020 USng politics. The comprehensive use of these SMPs has radically transformed new-fangled politics. Election campaigns and political discussions are increasingly held on these SMPs. Studying these discussions aids in predicting the outcomes of any political event. In this study, we analyze and predict

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Detection of the 3D Ground Plane from 2D Images for Distance Measurement to the Groundject to the ground plane). Equations describing the orientation of the ground plane of a scene in 2D or 3D space can be reconstructed from multiple sensor output data as collected from 2D or 3D sensors such as; RGB-D cameras, T-o-F cameras or LiDAR sensors. In our work, we propose a modular and simp

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Collaborative Aspects of Solving Rail-Track Multi-sensor Data Fusionty, noise and outliers. To overcome a time-consuming, manual sensor-registration procedure in rail-track data, the TransMVS COMET project was initiated in a joint collaboration between the company Track Machines Connected and the research institute Software Competence Center Hagenberg. One of the pr

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From Data to Decisions - Developing Data Analytics Use-Cases in Process Industry smart data discovery, a suitable system needs to be developed in a multi-stage process - starting with data acquisition and storage, data processing and analysis, suitable definition of use cases and project goals, and finally utilization and integration of the analysis results to the productive sy

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Challenges in Mass Flow Estimation on Conveyor Belts in the Mining Industry: A Case Studyd of the drive motor. The aim is to replace traditional expensive measurement hardware, which results in benefits such as lowering overall costs as well as the possibility of working under harsh environmental conditions, such as dust, vibrations, weather, humidity, or temperature fluctuations. The d